Common recipes to run vLLM
1,014
stars
670
commits
JavaScript
primary language
Sep 11, 2026
updated
This repo intends to host community maintained common recipes to run vLLM answering the question: How do I run model X on hardware Y for task Z?
New recipes live as structured YAML at models/<hf_org>/<hf_repo>.yaml and render on recipes.vllm.ai. See CONTRIBUTING.md for the full schema, VRAM formula, and validation steps.
Quick loop:
pnpm install
pnpm dev # http://localhost:3000
node scripts/build-recipes-api.mjs # validates every YAML + rebuilds the JSON API
The top-level Markdown directories (DeepSeek/, Qwen/, etc.) are the historical MkDocs site, kept as a reference during the YAML migration. To preview them:
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
uv run mkdocs serve --dev-addr 127.0.0.1:8001
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
(top 30 of 165)
JavaScript
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Jupyter Notebook
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Python
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CSS
1.3%
Common recipes to run vLLM
1,014
stars
670
commits
JavaScript
primary language
Sep 11, 2026
updated
This repo intends to host community maintained common recipes to run vLLM answering the question: How do I run model X on hardware Y for task Z?
New recipes live as structured YAML at models/<hf_org>/<hf_repo>.yaml and render on recipes.vllm.ai. See CONTRIBUTING.md for the full schema, VRAM formula, and validation steps.
Quick loop:
pnpm install
pnpm dev # http://localhost:3000
node scripts/build-recipes-api.mjs # validates every YAML + rebuilds the JSON API
The top-level Markdown directories (DeepSeek/, Qwen/, etc.) are the historical MkDocs site, kept as a reference during the YAML migration. To preview them:
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
uv run mkdocs serve --dev-addr 127.0.0.1:8001
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
(top 30 of 165)
JavaScript
87.1%
Jupyter Notebook
9.1%
Python
1.8%
CSS
1.3%